Research On Collaborative Emergency Decision-making For Air-ground Combined Transportation With Uncertain Disaster Information Fusion

In the various treatment measures of emergency rescue and incident,air transportation is widely applyed across the world as this kind of method has the merits of wide rescue range and fast response speed,and ground transportation becomes the most reliable supplementary mode in emergency rescue for the characteristics of strong adaptability and flexibility of disasters.In this work,firstly,the demand of relief in the disaster area were calculated by the fusion of the K-means algorithm and the case-based reasoning algorithm.The proposed feedback compensation method to acquire the value of K,promoted the efficiency of analysising historical data.Secondly,the multi-objective optimization model on the aviation emergency rescue was established when the influence of the random wind on the trajectory was taken into consideration,and the verification of the rescue method of air transportation combining the rescue point and the disaster area was conducted based on the national earthquake disaster data.Thirdly,based on the analysis of the dynamic network with the emergency ground traffic flow data of the damaged roads,the multi objective optimization model was constructed.Finally,when the transportation time were taken into consideration,the air-ground combined transportation scheduling model was established as referring to the aviation emergency rescue method and ground transportation model in three layers of disaster relief network,then the air-ground combined transportation mode is verified based on the data of the earthquake disaster in Sichuan Province.The results indicated that the proposed model of air-ground combined transportation improved the overall emergency rescue efficiency.